Abstract:
An integrated controller is provided for controlling communications with a plurality of peripheral devices. The integrated controller includes a bus interface for processing communications with a processor; a switch for routing communications between the processor and one or more of the peripheral devices; and a plurality of controllers, where each of the controllers provide an interface to at least one peripheral device. The controllers include at least one PHY controller for a corresponding peripheral device that provides an electrical interface to a connection, such as a network connection. The controllers also include at least one MAC controller that stores and forwards packets to and from a network connection.
Abstract:
A mixed-mode crosstalk canceller is disclosed that performs crosstalk cancellation in the continuous time domain. The disclosed mixed-mode crosstalk canceller processes the pulse amplitude modulated (PAM) digital signal to be transmitted as well as the received signal to compensate for the crosstalk between the transmit and receive signals. The output of the crosstalk canceller is subtracted from the received signal in the continuous time domain. Thus, the transmit symbol clock and the receive symbol clock can be asynchronous. The tap weights for the crosstalk cancellation are illustratively obtained using a modified version of the least mean square (LMS) algorithm for discrete time signals. The modified least mean square (LMS) algorithm is applied for continuous time signals that are derived from different clocks. Since, the LMS algorithm requires a costly multiplication of the error signal, e(t), and the digital transmit signal, xk(t), and it is only necessary to go in the direction of the gradient with the steepest decent, computational gains are achieved using a correlation multiplier that quantizes e(t) and xk(t) with only one or two bits. The quantized version of the error signal, e(t), indicates the sign of the error (positive or negative) and is obtained in the illustrative embodiment by comparing the error signal to zero. A crosstalk canceller updates each tap weight utilizing the disclosed correlation multiplier that provides a signal indicating whether the tap weight needs to be increased or decreased to a charge pump that produces a current in the proper direction.
Abstract:
Maximum likelihood bit-stream generation and detection techniques are provided using the M-algorithm and Infinite Impulse Response (IIR) filtering. The M-Algorithm is applied to a target input signal X to perform Maximum Likelihood Sequence Estimation on the target input signal X to produce a digital bit stream B, such that after filtering by an IIR filter, the produced digital stream Y produces an error signal satisfying one or more predefined requirements. The predefined requirements comprise, for example, a substantially minimum error. In an exemplary bit detection implementation, the target input signal X comprises an observed analog signal and the produced digital stream Y comprises a digitized output of a receive channel corresponding to a transmitted bit stream. In an exemplary bit stream generation implementation, the target input signal X comprises a desired transmit signal and the produced digital stream Y comprises an estimate of the desired transmit signal.
Abstract:
A digital signal processor is provided having an instruction set with an xK function that uses a reduced look-up table. The disclosed digital signal processor evaluates an xK function for an input value, x, by computing Log(x) in hardware; multiplying the Log(x) value by K; and determining the xK function by applying an exponential function in hardware to a result of the multiplying step. One or more of the computation of Log(x) and the exponential function employ at least one look-up table having entries with a fewer number of bits than a number of bits in the input value, x.
Abstract:
A method and apparatus are disclosed for performing joint equalization and decoding of multidimensional codes transmitted over multiple symbol durations. An RSSE scheme is disclosed that cancels the intrasymbol interference caused by other symbol components within the same multidimensional code symbol. The disclosed RSSE technique for multidimensional codes applies where the number of trellis code dimensions exceeds the number of channels. The disclosed RSSE decoder computes the intersymbol interference caused by previously decoded multidimensional code symbols and subtracts the intersymbol interference from the received signal. In addition, a branch metrics unit compensates for the intrasymbol interference caused by other symbol components within the same multidimensional code symbol.
Abstract:
Methods and apparatus are provided for direct synthesis of RF signals using a delta-sigma modulator. An RF signal is synthesized from an input signal by quantizing the input signal using a quantizer, such as a one bit quantizer; determining a quantization error associated with the quantizer; generating an error prediction value using an error predictive filter, wherein the error predictive filter comprises one or more filter zeroes on a unit circle for one or more desired frequencies of f1, f2, . . . fn and one or more filter poles having a magnitude inside the unit circle and a frequency substantially equal to the one or more desired frequencies of f1, f2, . . . fn; and subtracting the error prediction value from the input signal. The filter poles have a magnitude that reduces a boost provided out-of-band.
Abstract:
Methods and apparatus are provided for performing reduced complexity discrete Fourier transforms using interpolation An input sequence of length N is transformed by extending the input sequence to an extended input sequence of length M, where M is greater than N (a power of two greater than N); performing a discrete Fourier Transform (DFT), such as a power-of-two DFT, on the extended input sequence to obtain an interpolated sequence; and applying a conversion matrix to the interpolated sequence to obtain a DFT output for the input sequence of length N. The input sequence of length N can be extended to an extended input sequence of length M, for example, by employing a zero padding technique, a cyclic extension technique, a windowing of a cyclic extended sequence technique or a resampling-based interpolation technique to extend the input sequence. The conversion matrix is substantially a sparse matrix.
Abstract:
Methods and apparatus are provided for soft decision decoding using reliability values based on a log base two function. A signal is processed to determine one or more reliability values for a soft decision decoder by computing one or more log-likelihood ratio (LLR) values using a log base two function. The soft decision decoder may employ, for example, a belief propagation algorithm. The soft decision decoder can decode, for example, Low-Density Parity Check codes or turbo codes.
Abstract:
Methods and apparatus are provided for simultaneous estimation of frequency offset and channel response for a communication system, such as a MU-MIMO communication system. An iterative method is provided for estimating frequency offset and channel response for a plurality of frequency resources. The channel response is estimated for a set of users sharing a given one of the frequency resources. In addition, the frequency offset is estimated for the users in the set, wherein the channel response and frequency offset of users not in the set are maintained at their latest updated values. Initially, the channel response of a user can be an ideal channel response and the frequency offset can be approximately zero.
Abstract:
Methods and apparatus are provided for decorrelating quantization noise in a delta-sigma modulator. An input signal is quantized using a predictive delta-sigma modulator, by quantizing the input signal using a quantizer; determining a quantization error associated with the quantizer by subtracting an input to the quantizer from an output of the quantizer; measuring a correlation coefficient between the quantization error and an input to the quantizer; reducing the measured correlation by subtracting a multiple of the input to the quantizer from the quantization error, wherein the multiple is based on the correlation coefficient; generating an error prediction value using an error predictive filter; and subtracting the error prediction value from the input signal.